Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add metabase/agent-skills --skill metabase-embedding-sso-implementationgit clone --depth 1 https://github.com/metabase/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/metabase/agent-skills/metabase-embedding-sso-implementation)<a href="https://agentmods.dev/skills/metabase/agent-skills/metabase-embedding-sso-implementation"><img src="https://agentmods.dev/badge/skills/metabase/agent-skills/metabase-embedding-sso-implementation.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 4 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
- medium Excessive Agency · line 304 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00122 | $0.05770 |
| Opus 5 | $0.00061 | $0.02885 |
| Sonnet 5 | $0.00024 | $0.01154 |
| Haiku 4.5 | $0.00012 | $0.00577 |
Grade A, and why
metabase-embedding-sso-implementation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 450 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Execution contract
Follow the workflow steps in order — do not skip any step. Create the checklist first, then execute each step and explicitly mark it done with evidence. Each step's output feeds into the next, so skipping steps produces incorrect implementations.
If you cannot complete a step due to missing info or tool failure, you must:
- record the step as ❌ blocked,
- explain exactly what is missing / what failed,
- stop (do not proceed to later steps).
Each workflow step must end with Status: ✅ complete or Status: ❌ blocked. Steps are sequential — do not start a step until the previous one is complete. Each step must include evidence (detected code patterns, file paths, diffs applied, pass/fail results).
Architectural conformance
Follow the app's existing architecture, template engine, layout/partial system, code style, and route patterns. Do not switch paradigms (e.g., templates to inline HTML or vice versa). If the app has middleware for shared template variables, prefer that over duplicating across route handlers.
The JWT SSO endpoint must integrate with the app's existing authentication system. The endpoint must only issue Metabase JWTs for users who are already authenticated in the host app. Never create an endpoint that issues tokens without verifying the user's session first.
SSO requests to the Metabase instance must be proxied through the app's backend (FE → BE → Metabase /auth/sso). This keeps the Metabase instance URL and JWT tokens off the client, avoids CORS issues, and ensures auth is always validated server-side. The JWT shared secret must never be exposed to the frontend.
Important performance notes
- Maximize parallelism within each step. Use parallel Grep/Glob/Read calls in a single message wherever possible.
- Do not use sub-agents for project scanning — results need to stay in the main context for cross-referencing in later steps.
- Do not parse repo branches, commits, PRs, or issues.
Scope
This skill implements JWT SSO authentication for Metabase embedding. It supports all three embedding types that use SSO:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 450 lines · 122 tokens per session scan A 0764a9bdfdc6
metabase-embedding-sso-implementation is a skill published in the GitHub repository metabase/agent-skills (42 stars, last pushed 13d ago), licensed MIT. It adds 122 tokens to every session and 5,770 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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